CREATE TABLE

• 1: Column-constraint
• 2: Column-definition
• 3: Column-name-list
• 4: Partition clause
• 5: Table-constraint

CREATE TABLE [ IF NOT EXISTS ] [[ { namespace. | database. } ]schema.]table
   ( column-definition[,...] [, table-constraint [,...]] )
   [ ORDER BY column[,...] ]
   [ segmentation-spec ]
   [ KSAFE [safety] ]
   [ partition-clause]
   [ { INCLUDE | EXCLUDE } [SCHEMA] PRIVILEGES ]
   [ DISK_QUOTA quota ]

CREATE TABLE [ IF NOT EXISTS ] [[{ namespace. | database. } ]schema.]table
   { AS-clause | LIKE-clause }
   [ DISK_QUOTA quota ]

[ ( column-name-list ) ]
[ {INCLUDE | EXCLUDE} [SCHEMA] PRIVILEGES ]
AS  [ /*+ LABEL */ ] [ AT epoch ] query [ ENCODED BY column-ref-list ] [ segmentation-spec ]

LIKE [[{ namespace. | database. } ]schema.]existing-table
  [ { INCLUDING | EXCLUDING } PROJECTIONS ]
  [ { INCLUDE | EXCLUDE } [SCHEMA] PRIVILEGES ]

CREATE TABLE public.Premium_Customer
(
    ID IDENTITY ,
    lname varchar(25),
    fname varchar(25),
    store_membership_card int
);

CREATE TABLE company.store.Premium_Customer
(
    ID IDENTITY ,
    lname varchar(25),
    fname varchar(25),
    store_membership_card int
);

=> CREATE TABLE All_Customers LIKE Premium_Customer;
CREATE TABLE

=> CREATE TABLE cust_basic_profile AS SELECT
     customer_key, customer_gender, customer_age, marital_status, annual_income, occupation
   FROM customer_dimension WHERE customer_age>18 AND customer_gender !='';
CREATE TABLE

=> SELECT customer_age, annual_income, occupation 
   FROM cust_basic_profile
   WHERE customer_age > 23 ORDER BY customer_age;
 customer_age | annual_income |     occupation
--------------+---------------+--------------------
           24 |        469210 | Hairdresser
           24 |        140833 | Butler
           24 |        558867 | Lumberjack
           24 |        529117 | Mechanic
           24 |        322062 | Acrobat
           24 |        213734 | Writer
           ...

=> CREATE TABLE orders(
    orderkey    INT,
    custkey     INT,
    prodkey     ARRAY[VARCHAR(10)],
    orderprices ARRAY[DECIMAL(12,2)],
    orderdate   DATE
);

=> CREATE TABLE inventory
    (store INT, products ROW(name VARCHAR, code VARCHAR));

=> CREATE SCHEMA internal DISK_QUOTA '10T';
CREATE SCHEMA

=> CREATE TABLE internal.sales (...) DISK_QUOTA '5T';
CREATE TABLE

=> CREATE TABLE internal.leads (...) DISK_QUOTA '12T';
WARNING 0: Table leads has disk quota greater than its schema internal

=> CREATE TABLE airport.airline.flights(
    flight_number INT,
    leaving_from VARCHAR,
    arriving_at VARCHAR,
    expected_departure DATE,
    gate VARCHAR
);

1 - Column-constraint

Adds a constraint to a column's metadata.

Syntax

[ { AUTO_INCREMENT | IDENTITY } [ (args) ] ]
[ CONSTRAINT constraint-name ] {
   [ CHECK (expression) [ ENABLED | DISABLED ] ]
   [ [ DEFAULT expression ] [ SET USING expression } | DEFAULT USING expression ]
   [ NULL | NOT NULL ]
   [ { PRIMARY KEY [ ENABLED | DISABLED ] REFERENCES table [( column )] } ]
   [ UNIQUE [ ENABLED | DISABLED ] ]
}

Arguments

You can specify enforcement of several constraints by qualifying them with the keywords ENABLED or DISABLED. See Enforcing Constraints below.

{ AUTO_INCREMENT | IDENTITY } [ (args) ]

Creates a table column whose values are automatically generated by and managed by the database. You cannot change or load values in this column. You can set this constraint on only one table column. You cannot set this constraint in a temporary table.

AUTO_INCREMENT and IDENTITY are synonyms.

The following arguments can be added:

( { cache-size | start }, increment, [ cache-size ] )

• start: First value to set for this column (default 1).

• increment: How much to change the value for each new row insertion, a positive or negative value (default 1).

• cache-size: How many unique values each node caches per session, or 0 or 1 to disable (default 250,000).

For more information about these arguments, see IDENTITY sequences.

CONSTRAINT constraint-name

Assigns a name to the constraint, valid for the following constraints:

• PRIMARY KEY

• REFERENCES (foreign key)

• CHECK

• UNIQUE

If you omit assigning a name to these constraints, Vertica assigns its own name. For details, see Naming constraints.

Vertica recommends that you name all constraints.

CHECK (expression)

Sets a Boolean condition to check.

DEFAULT default-expr

Sets this column's default value. Vertica evaluates the expression and sets the column on load operations, if the operation omits a value for the column. For details about valid expressions, see Defining column values.

SET USING using-expr

Sets column values from an expression. Vertica evaluates the expression and refreshes column values only when REFRESH_COLUMNS is invoked. For details about valid expressions, see Defining column values.

DEFAULT USING expression

Defines the column with DEFAULT and SET USING constraints, specifying the same expression for both. DEFAULT USING columns support the same expressions as SET USING columns, and are subject to the same restrictions.

NULL | NOT NULL

Whether the column allows null values.

• NULL: Allows null values in the column. If you set this constraint on a primary key column, Vertica ignores it and sets it to NOT NULL.

• NOT NULL: Requires the column to be set to a value during insert and update operations. If the column has no default value and no value is provided, INSERT or UPDATE returns an error.

The default is NULL for all columns except primary key columns, which Vertica always sets to NOT NULL.

For an external table, data violating a NOT NULL constraint can produce unexpected results when the table is queried. Use NOT NULL for an external table column only if you are sure that the data does not contain nulls.

PRIMARY KEY

Identifies this column as the table's primary key.

REFERENCES table [ ( column ) ]

Identifies this column as a foreign key to a column in another table. If you omit the column, Vertica uses the table's primary key.

UNIQUE

Requires column data to be unique with respect to all table rows.

Privileges

Table owner or user WITH GRANT OPTION is grantor.

• REFERENCES privilege on table to create foreign key constraints that reference this table

• USAGE privilege on schema that contains the table

Enforcing constraints

The following constraints can be qualified with the keyword ENABLED or DISABLED:

• PRIMARY KEY

• UNIQUE

• CHECK

If you omit ENABLED or DISABLED, Vertica determines whether to enable the constraint automatically by checking the appropriate constraints configuration parameter:

• EnableNewPrimaryKeysByDefault

• EnableNewUniqueKeysByDefault

• EnableNewCheckConstraintsByDefault

See also

• Constraints
• Constraint enforcement

2 - Column-definition

Specifies the name, data type, and constraints to be applied to a column.

Syntax

column-name data-type
    [ column-constraint ][...]
    [ ENCODING encoding-type ]
    [ ACCESSRANK integer ]

Parameters

column-name

The name of a column to be created or added.

data-type

A Vertica-supported data type.

Tip

When specifying the maximum column width in a CREATE TABLE statement, use the width in bytes (octets) for any of the string types. Each UTF-8 character might require four bytes, but European languages generally require a little over one byte per character, while Oriental languages generally require a little under three bytes per character.

column-constraint

A constraint type that Vertica supports—for example, NOT NULL or UNIQUE. For general information, see Constraints.

ENCODING encoding-type

The column encoding type, by default set to AUTO.

ACCESSRANK integer

Overrides the default access rank for a column. Use this parameter to increase or decrease the speed at which Vertica accesses a column. For more information, see Overriding Default Column Ranking.

Examples

The following example creates a table named Employee_Dimension and its associated superprojection in the public schema. The Employee_key column is designated as a primary key, and RLE encoding is specified for the Employee_gender column definition:

=> CREATE TABLE public.Employee_Dimension (
    Employee_key                   integer PRIMARY KEY NOT NULL,
    Employee_gender                varchar(8) ENCODING RLE,
    Courtesy_title                 varchar(8),
    Employee_first_name            varchar(64),
    Employee_middle_initial        varchar(8),
    Employee_last_name             varchar(64)
);

3 - Column-name-list

Used to rename columns when creating a table or temporary table from a query; also used to specify the column's encoding type and access rank .

Syntax

column-name-list
    [ ENCODING encoding-type ]
    [ ACCESSRANK integer ]
    [ GROUPED ( column-reference[,...] ) ]

Parameters

column-name

Specifies the new name for the column.

ENCODING [encoding-type](/en/sql-reference/statements/create-statements/create-projection/encoding-types/)

Specifies the type of encoding to use on the column. The default encoding type is AUTO.

ACCESSRANK integer

Overrides the default access rank for a column, useful for prioritizing access to a column. See Prioritizing column access speed.

GROUPED

Groups two or more columns . For detailed information, see GROUPED clause.

Requirements

• A column in the list can not specify the column's data type or any constraint. These are derived from the queried table.

• If the query output has expressions other than simple columns (for example, constants or functions) then an alias must be specified for that expression, or the column name list must include all queried columns.

• CREATE TABLE can specify encoding types and access ranks in the column name list or the query's ENCODED BY clause, but not in both. For example, the following CREATE TABLE statement sets encoding and access rank on two columns in the column name list:

  => CREATE TABLE promo1 (state ENCODING RLE ACCESSRANK 1, zip ENCODING RLE,...)
       AS SELECT * FROM customer_dimension ORDER BY customer_state;
  

  The next statement specifies the same encoding and access rank in the query's ENCODED BY clause.

  
  => CREATE TABLE promo2
       AS SELECT * FROM customer_dimension ORDER BY customer_state
       ENCODED BY customer_state ENCODING RLE ACCESSRANK 1, customer_zip ENCODING RLE;
  

4 - Partition clause

Specifies partitioning of table data, through a PARTITION BY clause in the table definition:

PARTITION BY partition-expression [ GROUP BY group-expression ] [ active-partition-count-expr ]

PARTITION BY partition-expression

For each table row, resolves to a partition key that is derived from one or more table columns.

Caution

Avoid partitioning tables on LONG VARBINARY and LONG VARCHAR columns. Doing so can adversely impact performance.

GROUP BY group-expression

For each table row, resolves to a partition group key that is derived from the partition key. Vertica uses group keys to merge partitions into separate partition groups. GROUP BY must use the same expression as PARTITION BY. For example:

...PARTITION BY (i+j) GROUP BY (
     CASE WHEN (i+j) < 5 THEN 1
          WHEN (i+j) < 10 THEN 2
          ELSE 3);

For details on partitioning table data by groups, see Partition grouping and Hierarchical partitioning.

active-partition-count-expr

Specifies how many partitions are active for this table, specified as follows:

• In partition clause of CREATE TABLE:

  ACTIVEPARTITIONCOUNT integer
  

• In partition clause of ALTER TABLE:

  SET ACTIVEPARTITIONCOUNT integer
  

This setting supersedes configuration parameter ActivePartitionCount. For details on usage, see Active and inactive partitions.

Partitioning requirements and restrictions

PARTITION BY expressions can specify leaf expressions, functions, and operators. The following requirements and restrictions apply:

• All table projections must include all columns referenced in the expression; otherwise, Vertica cannot resolve the expression.
• The expression can reference multiple columns, but it must resolve to a single non-null value for each row.

  Note

  You can avoid null-related errors with the function ZEROIFNULL. This function can check a PARTITION BY expression for null values and evaluate them to 0. For example: CREATE TABLE t1 (a int, b int) PARTITION BY (ZEROIFNULL(a)); CREATE TABLE
• All leaf expressions must be constants or table columns.
• All other expressions must be functions and operators. The following restrictions apply to functions: * They must be immutable—that is, they return the same value regardless of time and locale and other session- or environment-specific conditions. * They cannot be aggregate functions. * They cannot be Vertica meta-functions.
• The expression cannot include queries.
• The expression cannot include user-defined data types such as Geometry.

GROUP BY expressions do not support modulo (%) operations.

Examples

The following statements create the store_orders table and load data into it. The CREATE TABLE statement includes a simple partition clause that specifies to partition data by year:

=> CREATE TABLE public.store_orders
(
    order_no int,
    order_date timestamp NOT NULL,
    shipper varchar(20),
    ship_date date
)
UNSEGMENTED ALL NODES
PARTITION BY YEAR(order_date);
CREATE TABLE
=> COPY store_orders FROM '/home/dbadmin/export_store_orders_data.txt';
41834

As COPY loads the new table data into ROS storage, the Tuple Mover executes the table's partition clause by dividing orders for each year into separate partitions, and consolidating these partitions in ROS containers.

In this case, the Tuple Mover creates four partition keys for the loaded data—2017, 2016, 2015, and 2014—and divides the data into separate ROS containers accordingly:

=> SELECT dump_table_partition_keys('store_orders');
... Partition keys on node v_vmart_node0001
  Projection 'store_orders_super'
   Storage [ROS container]
     No of partition keys: 1
     Partition keys: 2017
   Storage [ROS container]
     No of partition keys: 1
     Partition keys: 2016
   Storage [ROS container]
     No of partition keys: 1
     Partition keys: 2015
   Storage [ROS container]
     No of partition keys: 1
     Partition keys: 2014

 Partition keys on node v_vmart_node0002
  Projection 'store_orders_super'
   Storage [ROS container]
     No of partition keys: 1
     Partition keys: 2017
...

(1 row)

As new data is loaded into store_orders, the Tuple Mover merges it into the appropriate partitions, creating partition keys as needed for new years.

See also

5 - Table-constraint

Adds a constraint to table metadata. You can specify table constraints with CREATE TABLE, or add a constraint to an existing table with ALTER TABLE. For details, see Setting constraints.

Adding a constraint to a table that is referenced in a view does not affect the view.

Syntax

[ CONSTRAINT constraint-name ]
{
... PRIMARY KEY (column[,... ]) [ ENABLED | DISABLED ]
... | FOREIGN KEY (column[,... ] ) REFERENCES table [ (column[,...]) ]
... | UNIQUE (column[,...]) [ ENABLED | DISABLED ]
... | CHECK (expression) [ ENABLED | DISABLED ]
}

Parameters

CONSTRAINT constraint‑name

Assigns a name to the constraint. Vertica recommends that you name all constraints.

PRIMARY KEY

Defines one or more NOT NULL columns as the primary key as follows:

PRIMARY KEY (column[,...]) [ ENABLED | DISABLED]

You can qualify this constraint with the keyword ENABLED or DISABLED. See Enforcing Constraints below.

If you do not name a primary key constraint, Vertica assigns the name C_PRIMARY.

FOREIGN KEY

Adds a referential integrity constraint defining one or more columns as foreign keys as follows:

FOREIGN KEY (column[,... ]) REFERENCES table [(column[,... ])]

If you omit column, Vertica references the primary key in table.

If you do not name a foreign key constraint, Vertica assigns the name C_FOREIGN.

Important

Adding a foreign key constraint requires the following privileges (in addition to privileges also required by ALTER TABLE):

• REFERENCES on the referenced table

• USAGE on the schema of the referenced table

UNIQUE

Specifies that the data in a column or group of columns is unique with respect to all table rows, as follows:

UNIQUE (column[,...]) [ENABLED | DISABLED]

You can qualify this constraint with the keyword ENABLED or DISABLED. See Enforcing Constraints below.

If you do not name a unique constraint, Vertica assigns the name C_UNIQUE.

CHECK

Specifies a check condition as an expression that returns a Boolean value, as follows:

CHECK (expression) [ENABLED | DISABLED]

You can qualify this constraint with the keyword ENABLED or DISABLED. See Enforcing Constraints below.

If you do not name a check constraint, Vertica assigns the name C_CHECK.

Privileges

Non-superusers: table owner, or the following privileges:

• USAGE on schema

• ALTER on table

• SELECT on table to enable or disable constraint enforcement

Enforcing constraints

A table can specify whether Vertica automatically enforces a primary key, unique key or check constraint with the keyword ENABLED or DISABLED. If you omit ENABLED or DISABLED, Vertica determines whether to enable the constraint automatically by checking the appropriate configuration parameter:

• EnableNewPrimaryKeysByDefault

• EnableNewUniqueKeysByDefault

• EnableNewCheckConstraintsByDefault

For details, see Constraint enforcement.

Examples

The following example creates a table (t01) with a primary key constraint.

CREATE TABLE t01 (id int CONSTRAINT sampleconstraint PRIMARY KEY);
CREATE TABLE

This example creates the same table without the constraint, and then adds the constraint with ALTER TABLE ADD CONSTRAINT

CREATE TABLE t01 (id int);
CREATE TABLE

ALTER TABLE t01 ADD CONSTRAINT sampleconstraint PRIMARY KEY(id);
WARNING 2623:  Column "id" definition changed to NOT NULL
ALTER TABLE

The following example creates a table (addapk) with two columns, adds a third column to the table, and then adds a primary key constraint on the third column.

=> CREATE TABLE addapk (col1 INT, col2 INT);
CREATE TABLE

=> ALTER TABLE addapk ADD COLUMN col3 INT;
ALTER TABLE

=> ALTER TABLE addapk ADD CONSTRAINT col3constraint PRIMARY KEY (col3) ENABLED;
WARNING 2623:  Column "col3" definition changed to NOT NULL
ALTER TABLE

Using the sample table addapk, check that the primary key constraint is enabled (is_enabled is t).

=> SELECT constraint_name, column_name, constraint_type, is_enabled FROM PRIMARY_KEYS WHERE table_name IN ('addapk');

 constraint_name | column_name | constraint_type | is_enabled
-----------------+-------------+-----------------+------------
 col3constraint  | col3        | p               | t
(1 row)

This example disables the constraint using ALTER TABLE ALTER CONSTRAINT.

=> ALTER TABLE addapk ALTER CONSTRAINT col3constraint DISABLED;

Check that the primary key is now disabled (is_enabled is f).

=> SELECT constraint_name, column_name, constraint_type, is_enabled FROM PRIMARY_KEYS WHERE table_name IN ('addapk');

 constraint_name | column_name | constraint_type | is_enabled
-----------------+-------------+-----------------+------------
 col3constraint  | col3        | p               | f
(1 row)

For a general discussion of constraints, see Constraints. For additional examples of creating and naming constraints, see Naming constraints.